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Duration 14 hours
Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Essential reasoning, planning, and multimodal features
- Enterprise applications and value propositions
- Introduction to AI Studio and Vertex AI workflow tools
Mastering Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Formulating multimodal prompts and workflows
- Synthesizing modalities for deeper insights
Reasoning and Decision Assistance
- Constructing multi-step reasoning prompts
- Scenario modeling and assessment
- Architecting decision-support assistants
Enterprise Workflow Architecture in AI Studio
- Establishing and managing projects in AI Studio
- Linking datasets and corporate content
- Designing interactive reasoning workflows
Constructing Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and validating multimodal pipelines
Prompt Engineering for Planning and Execution
- Techniques for structured reasoning prompts
- Iterative prompt refinement and evaluation
- Navigating ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Linking Gemini 3 outputs to business operations
- Designing AI-assisted planning and review cycles
- Generating reusable workflow components
Security, Governance, and Responsible AI Practices
- Data security and enterprise governance
- Responsible AI policies and safety measures
- Oversight and auditability management
Conclusion and Future Steps
Requirements
- Grasping of fundamental AI principles
- Familiarity with cloud-based enterprise platforms
- Introductory knowledge of workflow or process structuring
Target Audience
- Product managers
- Knowledge professionals
- Enterprise architects
Testimonials (1)
Flow , vibe and topic on presentation
